polca_election

20,128 responses from 1,785 respondents to 12 items.

About this table

DescriptionQuestions about how certain statements fit candidates for 2000 US presidential election
ReferenceThe National Election Studies (https://electionstudies.org/). THE 2000 NATIONAL ELECTION STUDY [dataset]. Ann Arbor, MI: University of Michigan, Center for Political Studies [producer and distributor].
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/poLCA/index.html

Size and shape

Responses20,128
Respondents1,785
Items12
Response categories4
Responses per respondent11.276
Responses per item1677.333
Density0.940
LongitudinalFALSE

Classification

construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct name2000 National Election Studies survey

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument2000 American National Election Study, presidential candidate trait battery (items K2a-K2f, K3a-K3f)
Mean words per item2.167
Mean characters per item16.333
Mean characters per response12.750
Flesch-Kincaid grade level10.670

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("polca_election")
# Python
pip install irw

import irw
df = irw.fetch("polca_election")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0